Nutri: A Behavioral Science-Based Clinical Decision Support for Chronic Disease Management

Area of Science:

• Health Informatics
• Behavioral Science
• Chronic Disease Management

Background:

• Clinical decision support systems (CDSS) often lack behavioral science integration, hindering chronic disease management.
• Engaging clinicians in CDSS design is crucial for usability and adoption.
• Existing CDSS face challenges in supporting health behavior change effectively.

Purpose of the Study:

• To evaluate the usability and clinical utility of Nutri, a novel CDSS designed for collaborative diet goal setting.
• To assess the impact of Nutri on clinicians' self-efficacy in diet counseling.
• To integrate behavioral science principles into CDSS for chronic disease management.

Main Methods:

• A simulated primary care setting was used with 10 clinicians interacting with a patient actor.
• Nutri, a CDSS incorporating collaborative goal setting, was tested.
• Multi-method data collection included simulation recordings, usability surveys, and interviews.

Main Results:

• 100% of clinicians successfully selected a high-impact diet goal with the patient actor.
• Clinicians perceived Nutri as usable and potentially timesaving.
• Participation increased clinicians' self-efficacy in providing diet counseling.

Conclusions:

• Nutri demonstrates potential as a usable and effective CDSS for supporting collaborative diet goal setting in chronic disease management.
• Integrating behavioral science, like collaborative goal setting, enhances CDSS value.
• Further refinement of Nutri will focus on usability and clinical workflow integration.